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Page 1: Scimago Journal & Country Rank
Page 2: Scimago Journal & Country Rank

6/3/2018 International Journal of Civil Engineering and Technology

https://www.scimagojr.com/journalsearch.php?q=21100785495&tip=sid&clean=0 1/3

Scimago Journal & Country Rank

Home Journal Rankings Country Rankings Viz Tools Help About Us

International Journal of Civil Engineering

and Technology

Country India 12H Index

Subject Area and Category Computer ScienceComputer Networks and Communications

EngineeringBuilding and ConstructionCivil and Structural EngineeringControl and Systems Engineering

Materials ScienceCeramics and CompositesMetals and Alloys

Publisher IAEME Publication

Publication type Journals

ISSN 09766308, 09766316

Coverage 2016-ongoing

Enter Journal Title, ISSN or Publisher Name

Quartiles

The set of journals have been ranked according to their SJR and divided into four equal groups, four quartiles. Q1 (green)

comprises the quarter of the journals with the highest values, Q2 (yellow) the second highest values, Q3 (orange) the third

highest values and Q4 (red) the lowest values.

Category Year Quartile

Building and Construction 2017 Q3

Ceramics and Composites 2017 Q3

Civil and Structural Engineering 2017 Q3

Computer Networks and Communications 2017 Q3

SJR

The SJR is a size-independent prestige indicator that

ranks journals by their 'average prestige per article'. It is

based on the idea that 'all citations are not created

equal'. SJR is a measure of scientific influence of

journals that accounts for both the number of citations

received by a journal and the importance or prestige of

the journals where such citations come from It

measures the scientific influence of the average article

in a journal, it expresses how central to the global

Citations per document

This indicator counts the number of citations received by

documents from a journal and divides them by the total

number of documents published in that journal. The chart

shows the evolution of the average number of times

documents published in a journal in the past two, three and

four years have been cited in the current year. The two

years line is equivalent to journal impact factor ™

(Thomson Reuters) metric.

2017

Building and Construction

Ceramics and Composites

Civil and Structural Engineering

Computer Networks and Communications

Control and Systems Engineering

Metals and Alloys

2017

0.25

Page 3: Scimago Journal & Country Rank

6/3/2018 International Journal of Civil Engineering and Technology

https://www.scimagojr.com/journalsearch.php?q=21100785495&tip=sid&clean=0 2/3

Cites per document Year Value

Cites / Doc. (4 years) 2016 0.000

Cites / Doc. (4 years) 2017 2.748

Cites / Doc. (3 years) 2016 0.000

Cites / Doc. (3 years) 2017 2.748

Cites / Doc. (2 years) 2016 0.000

Cites / Doc. (2 years) 2017 2.748

Total Cites  Self-Cites

Evolution of the total number of citations and journal's

self-citations received by a journal's published

documents during the three previous years.

Journal Self-citation is defined as the number of citation

from a journal citing article to articles published by the

same journal.

Cites Year Value

Self Cites 2016 0

External Cites per Doc  Cites per Doc

Evolution of the number of total citation per document

and external citation per document (i.e. journal self-

citations removed) received by a journal's published

documents during the three previous years. External

citations are calculated by subtracting the number of

self-citations from the total number of citations received

by the journal’s documents.

Cites Year Value

% International Collaboration

International Collaboration accounts for the articles that

have been produced by researchers from several

countries. The chart shows the ratio of a journal's

documents signed by researchers from more than one

country; that is including more than one country address.

Year International Collaboration

2016 4.58

2017 3.33

Citable documents  Non-citable documents

Not every article in a journal is considered primary

research and therefore "citable", this chart shows the

ratio of a journal's articles including substantial research

(research articles, conference papers and reviews) in

three year windows vs. those documents other than

research articles, reviews and conference papers.

Documents Year Value

Non-citable documents 2016 0

Cited documents  Uncited documents

Ratio of a journal's items, grouped in three years

windows, that have been cited at least once vs. those

not cited during the following year.

Documents Year Value

Uncited documents 2016 0

Uncited documents 2017 45

Cited documents 2016 0

Cited documents 2017 217

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1.2

1.8

2.4

3

2016 2017

0

400

800

2016 2017

0

2

4

2016 2017

2.8

3.5

4.2

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2016 2017

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Page 4: Scimago Journal & Country Rank

6/3/2018 International Journal of Civil Engineering and Technology

https://www.scimagojr.com/journalsearch.php?q=21100785495&tip=sid&clean=0 3/3

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7/11/2018 International Journal of Civil Engineering and Technology (IJCIET), Scopus Indexed Journal, Journal Impact Factor (2016)=9.7820, High I…

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11690 Articles From 86 Journals

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CALL FOR PAPER July - July 2018 ISSUE Pilih Bahasa ▼

International Journal of Civil Engineering & Technology (IJCIET) - Scopus IndexedISSN Print : 0976 - 6308 ISSN Online: 0976 - 6316Volume 9, Issue 6 (2018)Copyright ©IAEME, 2010

Bibliometrics

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Page 8: Scimago Journal & Country Rank

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Page 9: Scimago Journal & Country Rank

http://www.iaeme.com/IJCIET/index.asp 1430 [email protected]

International Journal of Civil Engineering and Technology (IJCIET)

Volume 9, Issue 6, June 2018, pp. 1430–1436, Article ID: IJCIET_09_06_160

Available online at http://www.iaeme.com/ijciet/issues.asp?JType=IJCIET&VType=9&IType=6

ISSN Print: 0976-6308 and ISSN Online: 0976-6316

© IAEME Publication Scopus Indexed

MODEL IDENTIFICATION OF REGIONAL

COMPETITION AS A LOCATION OF FOOD

ESTATE DEVELOPMENT IN INDONESIA: CASE

STUDY AT SOUTHEAST SULAWESI

Rostin, Ambo Wonua Nusantara, Arifuddin Mas’ud, Baheri, Muh. Yani Balaka

Faculty of Economics and Business,

University of Halu Oleo, Kendari, Indonesia

Pasrun Adam

Faculty of Mathematics and Natural Sciences,

University of Halu Oleo, Kendari, Indonesia

ABSTRACT

This study offers models of food estate location to be developed in Southeast

Sulawesi Province. Overly matrix analysis shows that most potential areas for fishery

food estate development in Southeast Sulawesi are Konawe District, including the

Konawe Islands. Some positive criteria owned by Konawe District are potential to

become the food estate location with an advantage as National Strategic Area:

Integrated Economic Development Zone, provincial strategic area, especially for

strategic areas of marine and fisheries, and strategic areas of food agriculture. Overly

analysis results show that most potential areas for fishery food estate development in

Konawe District are Soropia Subdistrict.

Key words: Regional Competition, Food Estate Development, Southeast Sulawesi

Cite this Article: Rostin, Ambo Wonua Nusantara, Arifuddin Mas’ud, Baheri, Muh.

Yani Balaka and Pasrun Adam, Model Identification of Regional Competition as a

Location of Food Estate Development in Indonesia: Case Study at Southeast Sulawesi,

International Journal of Civil Engineering and Technology, 9(6), 2018, pp. 1430–

1436.

http://www.iaeme.com/IJCIET/issues.asp?JType=IJCIET&VType=9&IType=6

1. INTRODUCTION

Indonesia has an important position in fishery economic activities. With abundant marine

wealth, current seafood production growth reaches 7% per year. It puts Indonesia as the

largest producer in Southeast Asia. Based on fisheries production in Indonesia for distribution

of territory, Sulawesi Economic Corridor is the region with largest marine fishery production

in Indonesia. This indicates that fishery sector is one main economic activity in Sulawesi

Economic Corridor.

Page 10: Scimago Journal & Country Rank

Rostin, Ambo Wonua Nusantara, Arifuddin Mas’ud, Baheri, Muh. Yani Balaka and Pasrun Adam

http://www.iaeme.com/IJCIET/index.asp 1431 [email protected]

Fisheries contribute about 22 percent of total GRDP of food agriculture sub sector (70

percent for capture and 30 percent for cultivation). About 20 percent of fishery activities are

capture fisheries and the other are aquaculture fisheries. The potential for fisheries

development continues grow significantly because of most fishery products in Sulawesi are

for export demand along with higher global demand.

Development of main fishery economic activities has several challenges in global

competition, e.g. some fishery products from other countries such as Thailand and Vietnam

have a very high competitiveness due to the more efficient production process than Indonesia.

In an effort to build a more efficient fishery industry to cope the competition, Southeast

Sulawesi will develop an integrated Fisheries Industry between fishery industries, trade,

fishery based services with concept of food estate fisheries.

Based on the conditions, this study aim is to offer an identification model of food estate

development area as an integrated fisheries industry development between the fishery

industry, trade, and fishery-based services in Southeast Sulawesi.

2. RESEARCH METHODS

The model uses three approaches to determine the priority location of Food Estate

development in Southeast Sulawesi. First is analysis of spatial policy directions related to the

development of fisheries and industry sectors. Second is analysis of regional competitiveness.

Third is analysis of area support capacity. The three analyzes are combined using an overlay

analysis.

3. RESEARCH RESULT

This study aim is to determine where the food estate location to be developed in Southeast

Sulawesi Province. The method to determine the location of food estate development in

Sulawesi will be done in two stages. First stage is to analyze the districts / cities priority as

place of food estate development in Southeast Sulawesi Province. Second is to identify

priority districts to determine the most potential areas location in district / city with largest

potential as food estate location development.

3.1. Analysis of Food Estate Development in Southeast Sulawesi

This section aims to determine where the location of food estate to be developed in Southeast

Sulawesi Province. The output of this research is the districts / cities priority as place for food

estate development in Southeast Sulawesi Province. This study uses three approaches. First is

analysis of spatial policy directions related to the development of fisheries and industry

sectors. Second is analysis of regional competitiveness. Third is analysis of area support

capacity. The three analyzes are combined using an overlay analysis to make final

conclusion.

The analysis and policy direction as location for food estate development in Southeast

Sulawesi Province relates to (1) direction of national and provincial strategic area

development and (2) analysis of fishery cluster development center. The regional

competitiveness analysis for food estate development location in Southeast Sulawesi Province

uses indicators of : (1) Geographical Condition, 2) Welfare, and 3) Economic Activity. The

support capacity analysis uses following indicators: (1) Facilities related to Health Services;

(2) Facilities related to the Education Service.

Based on results of above three approaches for regional policy both provinces and national

related to the development of fishery sector in Southeast Sulawesi and approach of shaman

Page 11: Scimago Journal & Country Rank

Model Identification of Regional Competition as a Location of Food Estate Development in

Indonesia: Case Study at Southeast Sulawesi

http://www.iaeme.com/IJCIET/index.asp 1432 [email protected]

power and regional competitiveness, the next step is to determines the potential location for

food estate development. The method combines the two approaches of overly matrix. Table 1

below is overly matrix to make the weight and rank of most potential areas to determine the

location of food estate.

Table 1 Matrix Overly of Location Determination for Food Estate Industry

Criteria

District/City

National

Strategic

Area:

Integrated

Economic

Development

Area

Province strategic area based on economic growth

Region

Compet

itiveness

Regiona

l

support

Total

Scor

e

Strategic

area for

marine

and

fishery

Strategic

Area for

food crop

agricultu

re

Cocoa

plantatio

n

industry

area

Tourism

industry

area

Trade

area

Score (25) (25) (10) (5) (5) (10) (10) (10)

Buton 0

Muna © 10

Konawe © © © © © 70

Kolaka © © © © 50

South Konawe © 10

Bombana 0

Wakatobi © © 15

Kolaka Utara © 25

North Buton 0

North Utara © 25

Kendari City © © 25

Baubau City © 10

Table 1 shows that most potential area for fishery food estate development in Southeast

Sulawesi is Konawe District, including the Konawe Islands. Second potential area after

Konawe District is Kolaka District. Below is Location map of potential areas for development

of fisheries food estate in Southeast Sulawesi Province.

Figure 1 Food Estate Development Area in Southeast Sulawesi Province

ADMINISTRATIVE AREA OF SOUTHEAST SULAWESI PROVINCE

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Some positive criteria owned by Konawe District are potential to become the food estate

location with an advantage as National Strategic Area: Integrated Economic Development

Zone, provincial strategic area, especially for strategic areas of marine and fisheries, and

strategic areas of food crop agriculture. In addition, Konawe District has the support capacity

and regions competitiveness as good criteria for fisheries food estate development and marine

sector.

3.2. Location Analysis of Food Estate Development in Konawe

Analysis to determine the location of food estate development in Konawe Subdistrict is

started from location analysis of superior fishery sector, competitiveness analysis and support

capacity of food estate development up to the direction of plan location for fishery and

industry sectors

Analysis of Fisheries Sub-sector

Table 2 below shows the results of Location Quotient (LQ) analysis on fishery sub-sector in

each sub district in Konawe District District.

Table 2 Location Quotient (LQ) of Fisheries Sub-sector in Konawe District

District Sea Swamp River

1. South Wawonii 1.14 0.00 0.00

2. West Wawonii 1.14 0.00 0.00

3. Central Wawonii 1.14 0.00 0.00

5. East Wawonni 1.14 0.00 0.00

6. North Wawonni 1.14 0.00 0.00

8. Soropia 1.14 0.00 0.00

10. Sampara 0.00 0.00 675.69

15. Uepai 0.00 8.50 0.00

16. Puriala 0.00 8.50 0.00

18. Pondidaha 0.00 8.50 0.00

19. Wonggeduku 0.00 8.50 0.00

20. Amonggedo 0.00 8.50 0.00

24. Unaaha 0.00 4.25 337.85

25. Anggaberi 0.00 8.50 0.00

26. Abuki 0.00 8.50 0.00

28. Tongauna 0.00 8.50 0.00

29. Asinua 0.00 4.25 337.85

Source: Konawe District in Figures, 2013 (processed)

Table 2 shows that each district has one superior fish commodity. Subdistricts that excel

in marine fisheries commodities are South Wawoni, West Wawoni, Central Wawoni, East

Wawoni, North Wawoni, and Soropia. Subdistricts that excel in swamp fisheries commodities

are Uepai, Puriala, Pondidaha, Wonggeduku, Amonggede, Unaha, Anggaberi, Abuki,

Tongauna, and Asinua. Subdistricts that excel in river fishery commodities are Sampara,

Unaha Dan Asinua.

3.3. Analysis of Development of Konawe District Fishing Area

Fishery cultivation area is intended to produce fish to meet the needs of community in general

and in particular for food fulfillment (protein source), fishery industry and export of fishery

products.

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Capture Fisheries

Fisheries management is done with land usage and results conservation to obtain maximum

economic, social and ecological benefits for people living or around the coastal areas. Capture

fishery area is located in Soropia, and Lalonggasumeeto Subdistrict, with authority of marine

area management from 0-4 mile, and marine aquaculture area in Soropia Subdistrict.

The capture fishery area in Konawe District consists of:

special area for capture fisheries with authority of district sea area management from 0 - 4

miles, located in Soropia and Lalonggasumeeto Subdistricts; and

fishing facilities and infrastructure in form of Fish Landing Base at Bumi Indah in

Lalonggasomeeto Subdistrict and plan to build Fish Landing Base in Kapoiala Subdistrict.

Fishery Cultivation

Fishery production is resulted from following wide fishery cultivation area:

Freshwater aquaculture of 228 Ha in Sampara, Bondoala, Beselutu, Kapoiala, Lambuya,

Uepai, Puriala, Pondidaha, Wonggeduku, Amonggedo, Wawotobi, Meluhu, Konawe, Unaaha,

Anggaberi, Abuki and Tongauna subdistricts;

Brackish cultivation area of 3,023 Ha in Soropia, Bondoala and Kapoiala Subdistrict;

The cultivation of marine fisheries with fish and seaweed commodities is located in

Lalonggasomeeto, and Soropia Subdistrict.

With regard to the recent development of aquaculture ponds, minapolitan approach needs

to be done mainly in wetland farming areas (minapadi). Limitations of land for farm-based

farming development (extensive) makes fish ponds development with high economic value

should be done in central of fish cultivation areas.

Fish Processing Area

Fish processing or fishery industry (added value) to the catch / cultivation fish is still not

developed in Konawe District. The potential of capture fishery / fish cultivation is very big.

The fish processing business is one of foundation to improve economy at Konawe District,

especially in coastal region of Soropia directed as marine fishery center, Bumi Indah Fishing

Port located in Lalonggasomeeto Subdistrict and the development plan in Kapoiala

Subdistrict.

Table 3 Matrix Overly for Determination the Location of Fishery Based Food Estate

Criteria

District/City

Development of

Capture

Fishing Area

Development of

Fishery

Cultivation

Area

Development of

Fish Processing

Area

Potential of

Sea Fishery

Total

Score

Score (25) (25) (25) (25)

Souty Wawonii 25

West Wawonii 25

Central Wawonii 25

Southeast Wawonii 0

West Wawonii 25

North Wawonii 25

Soropia 100

Lalonggasumeeto 75

Bondoala 25

Besulutu 0

Kapoiala 75

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Based on results the approaches of fishery area development policy in Konawe District

and fishery potential approach of each sub-district, the next step is to determine the potential

location for development of food estate. The method used to combine the two approaches is

the overly matrix. Table 3 shows an overly matrix to make the weight and ranking of most

potential subdistrict areas to determine the location of food estate in Konawe District.

The matrix analysis results shows that most potential locations for development of fishery

food estate in Konawe District in Konawe Islands is Soropia Subdistrict, along with a location

map of potential areas for development of fishery food estate in Konawe District.

Figure 2 Location of Food Estate Development Potential In Konawe District

Positive criteria of Soropia Subdistrict creates potential to become location of food estate:

Development of Capture Fishing Area; (2) Development of Aquaculture Area; (3)

Development of Fish Processing Area; and (4) Marine Fishery Potential Areas.

4. CONCLUSIONS AND POLICIES

Two conclusions can be made from results of analysis and research findings. First, the most

potential area for development of fishery food estate in Southeast Sulawesi is Konawe

District, positive criterion owned by Konawe District has the potential to become a food estate

location with excellence as a National Strategic Area: Integrated Economic Development

Zone, provincial strategic area, especially for strategic areas of marine and fisheries, and

strategic areas of food crop agriculture. Second, the most potential location for development

of fishery food estate in Konawe District is Soropia Subdistrict. Positive criteria Soropia

Subdistrict as potential to become the location of food estate are : Development of Capture

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Fishing Area; (2) Development of Aquaculture Area; (3) Development of Fish Processing

Area; and (4) Marine Fishery Potential Areas.

Policies need to be taken to realize the development of an integrated fishery industry of

fishery industry, trade, and fishery-based services in Southeast Sulawesi. The following steps

are needed: (a) Enlarge the scale of business by developing the center areas with pattern of

intensification and diversification of fishery and marine business based on priority location.

(b) Program of quality improvement, productivity and diversification of fishery products

through promotion to investors in order to meet market demand. (c) Establishment of Fish

Cultivation Group and Fishermen Group, as well as cooperatives with modern management to

support toughness initiation, bargaining power, access to capital, production facilities,

technology, marketing network, and government policy lobby.

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